Wind Energy Productivity Evaluation UsingWeibull Statistical Method

Jul 25, 2020 - Jul 26, 2020

Publisher Springer Nature

DOI https://doi.org/10.1007/978-981-33-4355-9_37

Country Malaysia

Location Kuala Lumpur

Abstract Due to the increasing demand for energy and the negative effects of traditional energy systems on the environment, many researchers around the world are trying to discover an alternative, non-consuming, harmless, inexpensive, and sustainable energy system. Wind power is the most widely used source of electricity. This study aims to utilize wind energy by wind turbines in the Nasiriyah governorate to obtain electricity. Different values of wind speed were taken and statistically analyzed from the monthly data recorded for 2016. In the analysis, the average wind speed and energy density were determined for each month. Weibull statistical distribution method has been adopted in this study. The results obtained showed that the highest average intensity of wind energy in 12 months was in July; in addition, the average value of wind speed in 2016 was higher than 3 m/s.

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